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Course info
KET / DRZ
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Course description
Department/Unit / Abbreviation
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KET
/
DRZ
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Diag. and Life Manag. in Electrical Eng.
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Form of course completion
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Exam
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Form of course completion
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Exam
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Long Title
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Diagnostics and Life Management in Electrical Engineering
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Accredited / Credits
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Yes,
5
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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Czech, English
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Occ/max
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|
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Automatic acceptance of credit before examination
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No
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Summer semester
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26 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech, English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KEE/SNAPE, KET/SNTDE
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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During the course "Diagnostics and Life Management in Electrical Engineering" the students will be acquainted with the methods and system of diagnostics of electrical machines and equipment.
It will deepen existing knowledge about individual systems and diagnostic approaches of electrotechnical diagnostics.
The main area will be devoted to the development of knowledge and skills in terms of individual diagnostic methods for monitoring the state of electrical machines, equipment and particulate materials. These are in particular methods of partial discharge, AC and DC methods of diagnostics.
From the point of view of strategy of operation of machines and functional units, the key diagnostic methods for off-line and online gathering of information on the characteristics of the diagnosis system of machines and equipment will be presented.
The course will introduce new and special diagnostic procedures in the newly established HVDC networks and will introduce a diagnostics system such as Internet of Things (IoT). Appropriate sensors and sensors for online diagnostics in heavy-current electrotechnics will be discussed.
The course will also address issues of system management, risk management, and asset management overview for the operation of whole power units, in which diagnosis plays a key role.
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Requirements on student
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100% attendance at the practical class
Credit:
verifying the practical knowledge and skills acquired during the practical class
submission and approval of semestral reports
Exam
combined exam consisting of written and oral part
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Content
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1. Introduction, diagnostics system, types of diagnostics,
2. Off-line Diagnostic Methods - Part 1 (Rotating Machines, Transformers, Cables)
3. Online Diagnostic Methods - Part 1 (Rotating Machines, Transformers, Cables)
4. Sensors of electrical and non-electrical magnitudes and their application for diagnostics in electrical engineering
5. Industrial data collection in online diagnostics of electrical machines and equipment
6. Use of remote and automatic data transmission for diagnostics of electrical machines and equipment in high voltage electrical engineering
7. Asset management of electrical machines and equipment
8. Different strategies for determining residual lifetime
9. Degradation factor tests, aging models
10. Degradation of materials due to operating conditions - influence of various operating factors to the change of chemical, mechanical and electrical properties of the materials
11. Special diagnostic procedures and methods in HVDC applications
12. Application examples
13. Application examples
Exercises:
1. Theory of partial discharge at AC - basic types of discharges 1 (corona, internal, gliding)
2. Practicals of partial discharge at AC - basic types of discharges 2 (corona, internal, gliding)
3. Partial discharge theory at DC - basic types of discharges 1 (corona, internal, gliding)
4. Practicals of partial discharge at DC - basic types of shocks 2 (corona, internal, gliding)
5. Practice - technological influences in the production of solid electrical insulation - loss of voltage dependence
6. Practice - technological influences in the production of solid electrical insulation - Internal resistance, surface resistance
7. Practice - technological influences in the production of solid electrical insulation - partial discharges
8. Practice-technological influences in the production of solid electrical insulation - electrical strength
9. Practice - Diagnostics of cables 1 (different types of cables, cable terminals, cable joints)
10. Practice - special sensors for partial discharge diagnostics
11. Presentation of results and papers
12. Presentation of results and papers
13. Credit exam
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Activities
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Fields of study
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Studentům je k dispozici kurz v Moodle se všemi podstatnými informacemi a materiály.
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Guarantors and lecturers
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Guarantors:
Doc. Ing. Josef Pihera, Ph.D. ,
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Lecturer:
Doc. Ing. Josef Pihera, Ph.D. (60%),
Prof. Ing. Pavel Trnka, Ph.D., MBA (30%),
Ing. Robert Vik, Ph.D. (10%),
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Tutorial lecturer:
Ing. Jaroslav Hornak, Ph.D. (30%),
Doc. Ing. Josef Pihera, Ph.D. (60%),
Kyrylo Stohnii (100%),
Prof. Ing. Pavel Trnka, Ph.D., MBA (10%),
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Literature
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Basic:
Hauschild, W. High-Voltage Test and Measuring Techniques.
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Basic:
Küchler, A. High-Voltage Test and Measuring Techniques.
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Recommended:
James R.E., Su, Q. Condition Assessment of High Voltage Insulation iv Power System Equipement.
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Recommended:
Pyrhöhen, J. a kol. Design of Rotating Electrical Machines.
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Recommended:
Mentlík, V. Diagnostika elektrických zařízení,.
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Recommended:
Stone, G.C. Electrical insulation for rotating machines.
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Recommended:
Kerszenbaum, I. Inspection of Large Synchronous Machines.
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Recommended:
König, D., Rao, Y.N. Partial discharges in electrical power apparatus.
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Recommended:
Ekanayake, J. a kol. Smart Grid, Techmology and application.
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Recommended:
Heathcote, M. Transformer Book.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Graduate study programme term essay (40-50)
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40
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Preparation for laboratory testing; outcome analysis (1-8)
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2
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Preparation for an examination (30-60)
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40
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Contact hours
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26
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Practical training (number of hours)
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26
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Total
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134
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
explain the principle of basic electrical machines and devices |
understand the basic requirements for the diagnostics of electrical machines |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to apply principles of measuring techniques |
explain the basic measured values |
design and complete a basic test circuit for diagnostics |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
explain the principle and importance of the diagnostic approach |
to justify a diagnostic strategy for different electrical machines and equipment |
to design appropriate diagnostic sensors for a particular type of machine |
explain the degradation processes of the machine |
apply aging models for the given application |
explain degradation of materials due to operating conditions |
explain the asset management strategy of electrical machines and drvices |
Skills - skills resulting from the course: |
apply appropriate methods for obtaining the necessary diagnostic information |
to verify technological and degradation effects on the state of the machine |
to determine residual life time based on the application of aging model |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Skills - skills achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
Skills demonstration during practicum |
Competences - competence achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Interactive lecture |
Skills - the following training methods are used to achieve the required skills: |
Seminar |
Practicum |
Laboratory work |
Competences - the following training methods are used to achieve the required competences: |
Individual study |
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